Triple
T7957222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baharampur |
E184769
|
entity |
| Predicate | hasPoliceAdministration |
P13246
|
FINISHED |
| Object | district police headquarters of Murshidabad |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: district police headquarters of Murshidabad | Statement: [Baharampur, hasPoliceAdministration, district police headquarters of Murshidabad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliceAdministration Context triple: [Baharampur, hasPoliceAdministration, district police headquarters of Murshidabad]
-
A.
hasPoliceCommissionerate
Indicates that a particular area or jurisdiction falls under the authority or administration of a specific police commissionerate.
-
B.
hasPoliceDepartment
chosen
Indicates that an entity possesses, is served by, or is administratively associated with a police department.
-
C.
hasPoliceChief
Indicates that an entity has, is associated with, or is under the authority of a specific police chief.
-
D.
hasPoliceDistrict
Indicates that an entity falls under the jurisdiction or coverage area of a specific police district.
-
E.
policeSystem
Indicates a relationship where an entity functions as, belongs to, or is governed by a system of law enforcement or policing.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b7d36c081908cc8760a0dbf6001 |
completed | March 31, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69cb0473d7dc8190a25d0cf460b9fcbe |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:11 p.m.